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Graphyne nanostructure as a potential adsorbent for separation of H2S/CH4 mixture: Combining grand canonical Monte Carlo simulations with ideal adsorbed solution theory

机译:石墨烯纳米结构可作为分离H2S / CH4混合物的潜在吸附剂:将经典的蒙特卡洛模拟与理想的吸附溶液理论相结合

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摘要

The adsorption performances of multilayer graphyne-n (n = 1-3) nanostructures (abbreviated as MGN-n) for pure H2S, CH4 and their mixture are explored by the Grand canonical Monte Carlo (GCMC) simulations combined with ideal adsorbed solution theory (LAST). The effects of pressure, temperature, gaseous composition and content of pre-adsorbed water on the adsorption and separation behaviors are examined. For the pure H2S and CH4 adsorption, the dual-site Langmuir-Freundlich (DSLF) model can be used to exactly fit the results of GCMC simulation. Compared with CH4, H2S molecules are preferentially adsorbed in all cases. Due to the effect of adsorbent's structure, the loading of H2S in MGN-1 with smaller free volume (0.662 cm(3) g(-1)) is greater than that in MGN-2 with free volume 0.933 cm(3) g(-1). For the mixture adsorption, the IAST can accurately predict the loading of two species in MGN-1 and MGN-2, but it has a slight deviation for the selectivity predictions. For the MGN-3, due to the strong adsorbate-adsorbate interactions and heterogeneity surface, the LAST can't predict the loading and selectivity precisely. Besides, the separation performances of MGN are compared with zeolites and found that the MGN-1 has the highest H2S adsorption capacity and selectivity, in which the loading and selectivity reaches up to 15.493 mmol g(-1) and 60.8 at 1 MPa and 300 K, respectively. Rising temperature has adverse influence on the H2S/CH4 mixture separation. The H2S selectivity in MGN-1, MGN-2 and MGN-3 reduces 93.51%, 78.24% and 87.46% respectively as the temperature rises from 300 K to 500 K. When the molar fraction of H2S in mixture is low, pre-adsorbed some water is beneficial to the mixture separation. This work demonstrates that the MGN-1 can act as a delightful separation material. (C) 2016 Elsevier Ltd. All rights reserved.
机译:多层石墨烯-n(n = 1-3)纳米结构(缩写为MGN-n)对纯H2S,CH4及其混合物的吸附性能是通过大正则蒙特卡罗(GCMC)模拟与理想的吸附溶液理论(持续)。研究了压力,温度,气体成分和预吸附水含量对吸附和分离行为的影响。对于纯H2S和CH4吸附,可以使用双站点Langmuir-Freundlich(DSLF)模型来精确拟合GCMC模拟的结果。与CH4相比,在所有情况下都优先吸附H2S分子。由于吸附剂结构的影响,自由体积较小(0.662 cm(3)g(-1))的MGN-1中的H2S负载大于自由体积0.933 cm(3)g( -1)。对于混合物吸附,IAST可以准确预测MGN-1和MGN-2中两种物质的负载量,但选择性预测略有偏差。对于MGN-3,由于强烈的吸附物-吸附物相互作用和表面不均匀性,LAST无法精确预测其负载量和选择性。此外,将MGN与沸石的分离性能进行了比较,发现MGN-1具有最高的H 2 S吸附能力和选择性,在1 MPa和300 MPa下的负载和选择性分别达到15.493 mmol g(-1)和60.8。分别为K。温度升高对H2S / CH4混合物的分离有不利影响。随着温度从300 K升高到500 K,MGN-1,MGN-2和MGN-3中的H2S选择性分别降低93.51%,78.24%和87.46%。当混合物中H2S的摩尔分数低时,预吸附一些水有利于混合物的分离。这项工作表明MGN-1可以作为令人愉悦的分离材料。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Fuel》 |2016年第15期|210-219|共10页
  • 作者单位

    Chongqing Univ, Coll Power Engn, Key Lab Low Grade Energy Utilizat Technol & Syst, Minist Educ, Chongqing 400030, Peoples R China|North Univ China, Sch Mech & Power Engn, Taiyuan 030051, Peoples R China;

    Chongqing Univ, Coll Power Engn, Key Lab Low Grade Energy Utilizat Technol & Syst, Minist Educ, Chongqing 400030, Peoples R China;

    Chongqing Univ, Coll Aerosp Engn, Chongqing 400030, Peoples R China;

    Chongqing Univ, Coll Power Engn, Key Lab Low Grade Energy Utilizat Technol & Syst, Minist Educ, Chongqing 400030, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multilayer graphyne nanostructure; Grand canonical Monte Carlo simulation; Ideal adsorbed solution theory; H2S/CH4 mixture separation;

    机译:多层石墨烯纳米结构;大经典蒙特卡洛模拟;理想吸附溶液理论;H2S / CH4混合物分离;

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